Understanding manager resistance to blockchain systems

Blockchain technology has received much attention in the media and there is an increasing interest amongst organizations within financial services due to the potential benefits. As blockchain-based systems are a nascent technology, the requirements of the technology need to be understood, to allow blockchain systems to be successfully integrated within financial service organizations. There are gaps in academic research in understanding how managers evaluate the value of a blockchain-based system. This study develops a model to explain manager resistance to implementing blockchain-based systems in financial services organizations. This research advances the theoretical understanding of managers’ perspectives on blockchain-based systems and models their resistance to blockchain technology.     

The missing bridge: How immigrant networks keep Americans out of dirty jobs

Immigrants are over half of the new entrants in occupations in southwestern labor markets that range from farmworker to janitor to engineering professor. This paper explains how the availability of immigrant workers changes employment practices in ways that push and pull Americans out of jobs which remain "dirty" or unattractive to U.S. workers. An immigrant network that eventually takes over an enterprise's jobs can begin by accident or design. Accidental immigrant takeovers begin with pioneer workers who persist in high turnover jobs such as seasonal farmworker. These workers offer to bring their friends and relatives to fill vacancies as they occur. Takeovers by design sometimes follow a strike in which immigrants are recruited to be strikebreakers. After immigrants dominate the workforce, the language and culture of the workplace change in ways that make American workers feel out-of-place. Employers feel under no compulsion to upgrade dirty jobs as long as immigrant workers are available, so the technology and productivity of immigrant-enclave jobs tend to be frozen, guaranteeing that dirty jobs get less and less attractive to Americans. Indeed, industries dependent on immigrant workers often turn protectionist when they realize that even low immigrant wages are not sufficient to ensure their survival in the global marketplace. In this way, Americans lose out in several ways: They must compete directly with immigrant workers in the labor market, and then pay higher prices for the goods produced by immigrant workers because the industries preserved by them demand protection from imports. This paper will explore the manner in which immigrant networks displace Americans from dirty jobs and how the availability of immigrant workers can preserve sunset industries which turn protectionist. Examples from fruit and vegetable agriculture, garments, and shoes will be discussed.     

Why ownership matters

The main argument of this article is that corporate planners have tended to concentrate on subjects such as control of business strategies, financial management and global economic assessment; they have paid too little attention to the ownership of corporate entities. Apart from the overwhelming economic and social arguments in favour of dispersed ownership, there is increasing evidence that companies which adopt a positive planning approach to the ownership of their business will derive wider benefits. Much more statistical and attitudinal evaluation is required; individual companies need to support the macro-work of academic research with detailed micro-studies at the company level. If these studies continue to support the basic argument, there are positive steps which each company will be able to take to support the cause of wider ownership.     

The managerial power approach: Is it testable?

Journal of Management and Governance - The central hypothesis of the managerial power approach (MPA) states that power is the main driver of executive compensation. The positive impact of power on...     

A Tiered Framework for Risk‐Relevant Characterization and Ranking of Chemical Exposures: Applications to the National Children's Study (NCS)

A challenge for large‐scale environmental health investigations such as the National Children's Study (NCS), is characterizing exposures to multiple, co‐occurring chemical agents with varying spatiotemporal concentrations and consequences modulated by biochemical, physiological, behavioral, socioeconomic, and environmental factors. Such investigations can benefit from systematic retrieval, analysis, and integration of diverse extant information on both contaminant patterns and exposure‐relevant factors. This requires development, evaluation, and deployment of informatics methods that support flexible access and analysis of multiattribute data across multiple spatiotemporal scales. A new “Tiered Exposure Ranking” (TiER) framework, developed to support various aspects of risk‐relevant exposure characterization, is described here, with examples demonstrating its application to the NCS. TiER utilizes advances in informatics computational methods, extant database content and availability, and integrative environmental/exposure/biological modeling to support both “discovery‐driven” and “hypothesis‐driven” analyses. “Tier 1” applications focus on “exposomic” pattern recognition for extracting information from multidimensional data sets, whereas second and higher tier applications utilize mechanistic models to develop risk‐relevant exposure metrics for populations and individuals. In this article, “tier 1” applications of TiER explore identification of potentially causative associations among risk factors, for prioritizing further studies, by considering publicly available demographic/socioeconomic, behavioral, and environmental data in relation to two health endpoints (preterm birth and low birth weight). A “tier 2” application develops estimates of pollutant mixture inhalation exposure indices for NCS counties, formulated to support risk characterization for these endpoints. Applications of TiER demonstrate the feasibility of developing risk‐relevant exposure characterizations for pollutants using extant environmental and demographic/socioeconomic data.     

The Congruence Between Adolescents and Their Parents’ Gender-Role Attitudes in Urban Slums of Allahabad,India

Gender role differentiation intensifies during adolescence. The current study explores gender-role attitudes among unmarried young men and women aged 15–21 residing in the slums of Allahabad, India. The survey asked a series of questions about gender role attitudes to young men and women and to their parents (relating to work and educational attainment for girls, marriage and husband–wife relations). Since either the father or mother responded to the parent questionnaire, data analyses are based on subsets of mother–daughter pairs (n = 2124), mother–son pairs (n = 2135), father–son pairs (n = 788), and father–daughter pairs (n = 452). No significant differences emerged in terms of adolescent background characteristics of the four groups and the adolescent population of the study. A fair amount of congruence in gender role attitudes was found in the mother–daughter and father–son pairs for most items. However, a similar pattern was not visible in the father–daughter or mother–son pairs. Multivariate regression analysis indicated strong influence of parental attitudes on the adolescent’s attitudes. While education led to a shift in girls’ attitudes to gender egalitarian ones, it did not impact the attitudes of adolescent boys.